At CES 2025, we showcased the Limelight 4, a zero-code smart camera and robot controller powered by Raspberry Pi and enhanced by Hailo-8. This innovative product, exclusively chosen for the renowned FIRST Robotics program, allows school robotics teams to seamlessly integrate AI into their robots without the need for any coding. Our partnership with Limelight Vision highlights our dedication to making AI more accessible and impactful across various industries.
More Information:
The Limelight 4 is an advanced AI-powered robot controller designed primarily for robotics applications, particularly in competitive settings such as FIRST Robotics Competition (FRC), educational robotics, and hobbyist projects. Here are several key features and aspects of the Limelight 4:
1. AI-Powered Vision Processing:
- The Limelight 4 is equipped with built-in computer vision capabilities, allowing it to process images and gather data in real-time. This makes it capable of identifying and tracking objects, which is crucial for robots that need to navigate or interact with specific items in their environment.
2. High-Performance Camera:
- It features a high-resolution camera with a wide field of view, which helps in capturing detailed images. The camera can be adjusted for various lighting conditions, ensuring reliable performance even in challenging environments.
3. Ease of Use:
- The Limelight 4 is designed to be user-friendly, allowing users to easily configure and calibrate it via a web-based interface. This accessibility makes it an attractive option for both experienced engineers and newcomers to robotics.
4. Integration with Robot Software:
- The controller seamlessly integrates with popular robotics software frameworks like Robot Operating System (ROS) and provides easy APIs for various programming languages, enabling developers to implement complex behaviors and control mechanisms easily.
5. Network Utilization:
- The device typically features both Ethernet and Wi-Fi connectivity, allowing it to communicate with other components of the robot. This network capability enables remote monitoring, direct data streaming, and command execution from a connected device.
6. Customizable Algorithms:
- Users can install custom vision processing algorithms and utilize machine learning techniques to enhance the robot’s perception capabilities, making it adaptable to a wide range of tasks and environments.
7. Multiple Tracking Modes:
- The Limelight 4 supports various tracking modes, such as color detection, shape detection, and even advanced geometric pattern recognition. This allows robots to complete tasks that involve locating and interacting with specific shapes or colors.
8. Real-Time Feedback:
- The system can provide real-time feedback on various metrics, helping teams to fine-tune their robot’s response and improve overall performance during competitions or tasks.
9. Open Source and Community Support:
- Limelight devices often come with open-source software and extensive community support, providing resources, tutorials, and forums for users to share knowledge and troubleshoot issues.
10. Durability and Field-Tested Design:
- Designed for competitive and educational robotics, the Limelight 4 is often built to be rugged and durable, capable of withstanding the rigors of competitions and various environmental conditions.
Conclusion:
The Limelight 4 AI-Powered Robot Controller is a versatile and powerful tool for anyone involved in robotics, from students to seasoned professionals. By incorporating advanced computer vision and a user-friendly interface, it enables robots to perform complex tasks autonomously, setting a new standard in the field of robotics engineering.